agg: Aggregate Measures By Dimensions
In EricLamphere/ezxfig: Transfigure data frames

agg	R Documentation

Aggregate Measures By Dimensions

Description

This function is great for getting rollups across various dimensions

Usage

agg(.data, .dims = NULL, .all_dims, ..., .append = TRUE)

Arguments

`.data`	A data frame
`.dims`	Character vector of column names that represent the data frames dimensions to be grouped by and summarised with the formulas in
`.all_dims`	Character vector of column names that represent the data frames entire set of dimensions. All other columns will be ignored unless referenced in `...`
`...`	Named expressions passed to `dplyr::summarise()`. These formulas are also applied at the `rowwise` level in a dplyr::mutate call to `.data`
`.append`	Logical, whether or not to append the aggregated data to `.data` with "TOTAL" rows

Value

Data frame

Examples

library(dplyr)
agger <- purrr::partial(
  agg,
  conc = mean(conc, na.rm = TRUE),
  uptake = mean(uptake, na.rm = TRUE),
  .all_dims = c("Plant", "Type", "Treatment")
)
tibble::tibble(datasets::CO2) %>%
  agger(c("Plant", "Type")) %>%
  agger("Treatment")

EricLamphere/ezxfig documentation built on Jan. 29, 2023, 1:44 a.m.